Instructions to use yosshstd/Transporter-GPT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use yosshstd/Transporter-GPT with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("GreatCaptainNemo/ProLLaMA_Stage_1") model = PeftModel.from_pretrained(base_model, "yosshstd/Transporter-GPT") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from yosshstd/Transporter-GPT: direct link, hf CLI and curl.
- Browser
- Download file 858 MB
-
https://huggingface.co/yosshstd/Transporter-GPT/resolve/main/optimizer.pt
- Command line
-
hf download hf://yosshstd/Transporter-GPT/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/yosshstd/Transporter-GPT/resolve/main/optimizer.pt
858 MB
- Xet hash:
- ba58438a20ec039773d5b2ec361a8568bcdd18c2abb8e79de197c6927b864781
- Size of remote file:
- 858 MB
- SHA256:
- b10a2cebdba62bbda7e42b9987dedc8e9dcbd27bb1f17d80ceff9b9d7e98a89f
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